Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.4 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bourgoyne
1
66 kgPickrell
2
72 kgLamperti
3
74 kgPlamondon
12
72 kgSirman
14
77 kgInkster
16
73 kgSchandorff Iwersen
17
62 kgTuazon
24
55 kgHertz
29
68 kgParisella
30
78 kgLond
31
65 kgRiccitello
35
55 kgCarreau
36
68 kgMenegon
42
59 kgRussell
45
64 kgJussaume
56
70 kgLydic
57
62 kgSelivert
74
61 kgKinniburgh
76
76 kgGuillemette
78
73 kgPedersen
79
71 kgFroner
87
63 kg
1
66 kgPickrell
2
72 kgLamperti
3
74 kgPlamondon
12
72 kgSirman
14
77 kgInkster
16
73 kgSchandorff Iwersen
17
62 kgTuazon
24
55 kgHertz
29
68 kgParisella
30
78 kgLond
31
65 kgRiccitello
35
55 kgCarreau
36
68 kgMenegon
42
59 kgRussell
45
64 kgJussaume
56
70 kgLydic
57
62 kgSelivert
74
61 kgKinniburgh
76
76 kgGuillemette
78
73 kgPedersen
79
71 kgFroner
87
63 kg
Weight (KG) →
Result →
78
55
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOURGOYNE Lucas | 66 |
| 2 | PICKRELL Riley | 72 |
| 3 | LAMPERTI Luke | 74 |
| 12 | PLAMONDON Joel | 72 |
| 14 | SIRMAN Jack | 77 |
| 16 | INKSTER Eric | 73 |
| 17 | SCHANDORFF IWERSEN Emil | 62 |
| 24 | TUAZON Ron Francoise | 55 |
| 29 | HERTZ Benjamin | 68 |
| 30 | PARISELLA Raphael | 78 |
| 31 | LOND Daniel | 65 |
| 35 | RICCITELLO Matthew | 55 |
| 36 | CARREAU Lukas | 68 |
| 42 | MENEGON Nicholas | 59 |
| 45 | RUSSELL Evan | 64 |
| 56 | JUSSAUME Tristan | 70 |
| 57 | LYDIC Andrew | 62 |
| 74 | SELIVERT Fabien | 61 |
| 76 | KINNIBURGH Jackson | 76 |
| 78 | GUILLEMETTE Mathias | 73 |
| 79 | PEDERSEN Ellis | 71 |
| 87 | FRONER Axel | 63 |